Currently under development, an experimental DataRobot API allows model administrators to download a Deployed model from DataRobot cluster X, upload it to DataRobot cluster Y then deploy and make requests from it.
Model Requirements
Model to migrate must by using py3 or better Supported Paths
These model migration paths are currently known to work out of the box
DR8.x -> DR8.x DR8.x -> DR9 Spoiler (Highlight to read) Attention : This notebook
WILL NOT WORK using
https://app.datarobot.com Attention: This notebook WILL NOT WORK using https://app.datarobot.com
Prerequisites
This notebook must be able to write to the model directory, located in the same directory as this notebook For best results: run this notebook from the local file system Model to migrate must be a deployed model The Source and Destination users must have the " Enable Experimental API access " permission for process to work Must have an API key from the Source and Destination clusters Notebook must have connectivity to the Source and Destination clusters The DataRobot versions must be consistent with the Supported Paths In the case of a DataRobot 7 model, the migrator must have ssh access to the App Node of the cluster The Source and Destination DataRobot clusters must have the following in the config.yaml app_configuration: drenv_override: WHITELIST_EXPERIMENTAL_API: true EXPERIMENTAL_API_ACCESS: true
To get started, find the Source Settings section of the notebook and update the following:
source_host
source_apikey
deployment_id
destination_host
destination_apikey
Direct AI Accelerator download URL :